RSC - Olsen - Research - Bathymetry


Spectral and Wave Kinematic Techniques (WKB)

Our work with bathymetry started with analysis of spectral data taken at Lake Tahoe, and work by Doug Stuffle (1996) we used the hyperspectral character of the HYDICE data to take out bottom reflectance variations, with some success.  Bathymetry From Hyperspectral Imagery.  Toby Garfield may publish this work someday.  Tom Fisher sort of redid Stuffle's thesis, using AVIRIS data. Shallow Water Bathymetry At Lake Tahoe From AVIRIS Data (1999)

Subsequent work focused more on the use of satellite data.  The spectral approach reached its primary conclusions in the work by Krista Lee (2011, 2013).  We then extended a long term interest of mine, in recording motion, by looking at sequences of satellites images taken by the various Digital Globe satellites.   Working with DG, we developed approaches to littoral imaging at a ten-second (10-d) cadence, with image sets from ~10 images to collections with tens of images (Lee, 2013).

Brad McCarthy did the first of the wave kinematic thesis studies (2011).  The primarily manual effort was continued  (Myrick, 2011) , then extended into a more automated approach with the help of Ron Abilieah (2013).   Thesis work by Steve Mancini (2012) showed that the technique was viable.   The main problem was that the ten-second sampling interval was badly aliased by the roughly ten-second wave period of open ocean waves.   We made some attempts at going to the other extreme with Skybox video, at 30 Hz.  These 30-s videos had the opposite problem - dramatically oversampling the ocean wave phenomena, but not measuring enough total periods.   Basically I'm waiting for something at about 1 Hz sampling for 40-60 seconds.  

Project Sheet


rco, 5/25/2017

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